code: def expected_output_image_shape(self, images):
      return self.num_channels, self.size["height"], self.size["width"]
  
file_path: transformers/tests/models/layoutlmv2/test_image_processing_layoutlmv2.py
imports: import unittest
  from transformers.testing_utils import require_pytesseract, require_torch
  from transformers.utils import is_pytesseract_available
  from ...test_image_processing_common import ImageProcessingTestMixin, prepare_image_inputs
label_desc: Use image node_id 3 for calling the LayoutLMv2ImageProcessingTester obj's underlying member method code with example usage: obj.expected_output_image_shape(images) and returns: self,  self,  self